﻿ Python NumPy: Remove all rows in a numpy array that contain non-numeric values - w3resource

# Python NumPy: Remove all rows in a numpy array that contain non-numeric values

## Python NumPy: Array Object Exercise-91 with Solution

Write a Python program to remove all rows in a numpy array that contain non-numeric values.

Sample Solution:-

Python Code:

``````import numpy as np
x = np.array([[1,2,3], [4,5,np.nan], [7,8,9], [True, False, True]])
print("Original array:")
print(x)
print("Remove all non-numeric elements of the said array")
print(x[~np.isnan(x).any(axis=1)])
```
```

Sample Output:

```Original array:
[[  1.   2.   3.]
[  4.   5.  nan]
[  7.   8.   9.]
[  1.   0.   1.]]
Remove all non-numeric elements of the said array
[[ 1.  2.  3.]
[ 7.  8.  9.]
[ 1.  0.  1.]]
```

Python Code Editor:

```import numpy as np
x = np.array([[1,2,3], [4,5,np.nan], [7,8,9], [True, False, True]])
print("Original array:")
print(x)
print("Remove all non-numeric elements of the said array")
print(x[~np.isnan(x).any(axis=1)])```

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